- Santriya Technologies is seeking an AI-Enabled Quality Control Inspector to perform incoming, in-process or final inspection using approved measurement methods and AI/computer-vision assistance, with human verification of acceptance decisions.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Inspect products, materials, packaging or workmanship against drawings, specifications and acceptance criteria.

- Use approved computer vision or AI defect detection to prioritize or augment inspection, validating flagged and accepted outcomes as required.

- Record measurements, defects, samples, images and traceability evidence accurately.

- Raise non-conformance reports, segregate suspect material and support disposition workflows.

- Monitor defect trends and recurring causes using AI-assisted analytics.





- Calibrate/verify inspection tools and follow sampling plans.

- Coordinate with supplier, production, warehouse and engineering teams on corrective actions.

- Never allow AI confidence scores alone to release safety-critical or regulated items.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:
- Defect escape and false rejection rates reduce

- Inspection productivity improves
- NCR evidence and traceability remain robust

- Recurring defect causes are systematically reduced

📌 AI-Enabled Quality Control Inspector (Chennai)
🏢 Santriya Technologies
📍 Chennai